How Data Centers Are Using Deep Learning
Machine and deep learning, which emerged from Artificial Intelligence (AI), the theory and development of computer systems that can perform tasks normally requiring human intelligence, mimics activities in layers of neurons in the neocortex, the area of the brain where thinking occurs. Deep learning software can be programmed to recognize patterns in digital representations of sounds, images and other data. In fact, machine intelligence is transforming the future of everything from communications to healthcare, and from manufacturing and transportation to advanced robotics. Writers and filmmakers such as Arthur C. Clarke and Stephen Spielberg have foretold of a brave new world where AI will take one day influence every waking aspect of our personal and professional lives.
Science-fiction aside, machine learning is already well-established in our everyday world, from your faithful companion Siri to facial recognition programs to language translation. But it can also help to tackle some of the world’s most challenging industrial problems, such as rampant energy consumption that adversely impacts the environment. Large-scale commercial systems, including high performance data centers, consume a lot of energy, and while much has been done to mitigate energy usage in enterprise and colocation facilities, deep learning can do much more to manage the world’s increasing need for high performance computing power. Curious to know more view original source…
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